The FSS-1000 dataset[1]} consists of images belonging 1000 classes, with 10 images per class. The dataset has 10 labelled images per class, with dense pixel-wise labels. Out of the 1000 classes 240 has been marked by the authors as the test set. Out of the 760 train classes, 700 are used for training and 60 for validation. Final results are reported on the 240 test classes.
